Responses to Regulated E-Cigarette Advertisements
Young Adults' Responses to E-Cigarette Advertisement Features and the Effect of Restricting Features on Tobacco Use - Phase 2
2 other identifiers
interventional
195
1 country
1
Brief Summary
While conventional cigarette use continues to decline among youth and young adults, e-cigarette (EC) use is on the rise. Specifically, the investigators will conduct a randomized control trial (RCT) where young adults are randomized to one of two conditions: 1) a regulated ad environment, with high impact EC ad features removed or 2) an unregulated ad environment, with high impact EC ad features left intact. Participants will view EC ads embedded in an online magazine 24 times over the course of 6 months. EC experimentation and sustained use will be the primary outcome of interest.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for not_applicable
Started Apr 2022
Typical duration for not_applicable
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
December 15, 2021
CompletedFirst Posted
Study publicly available on registry
January 26, 2022
CompletedStudy Start
First participant enrolled
April 1, 2022
CompletedPrimary Completion
Last participant's last visit for primary outcome
June 4, 2024
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2024
CompletedResults Posted
Study results publicly available
May 30, 2025
CompletedMay 30, 2025
May 1, 2025
2.2 years
December 15, 2021
April 3, 2025
May 12, 2025
Conditions
Outcome Measures
Primary Outcomes (15)
Tobacco Use at 1 Month
Use of any tobacco products
1 month
Tobacco Use at 3 Months
Use of any tobacco products
3 months
Tobacco Use at 6 Months
Use of any tobacco products
6 months
Perceived Severity of Using E-Cigarettes at 1 Month
Perceived severity of using e-cigarettes, a subconstruct of the Health Belief Model was assessed by participants' perceived significance, severity, and seriousness of health threats from e-cigarette use. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 1 (strongly disagree) to 5 (strongly agree). I believe that the health threat of using e-cigarettes is severe. I believe that the health threat of using e-cigarettes is serious. I believe that the health threat of using e-cigarettes is significant. To determine score, the average is taken of the items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate greater perceived severity of e-cigarette use. Lower scores indicate lesser perceived severity of e-cigarette use.
1 month
Perceived Severity of Using E-Cigarettes at 3 Months
Perceived severity of using e-cigarettes, a subconstruct of the Health Belief Model was assessed by participants' perceived significance, severity, and seriousness of health threats from e-cigarette use. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 1 (strongly disagree) to 5 (strongly agree). I believe that the health threat of using e-cigarettes is severe. I believe that the health threat of using e-cigarettes is serious. I believe that the health threat of using e-cigarettes is significant. To determine score, the average is taken of the items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate greater perceived severity of e-cigarette use. Lower scores indicate lesser perceived severity of e-cigarette use.
3 months
Perceived Severity of Using E-Cigarettes at 6 Months
Perceived severity of using e-cigarettes, a subconstruct of the Health Belief Model was assessed by participants' perceived significance, severity, and seriousness of health threats from e-cigarette use. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 1 (strongly disagree) to 5 (strongly agree). I believe that the health threat of using e-cigarettes is severe. I believe that the health threat of using e-cigarettes is serious. I believe that the health threat of using e-cigarettes is significant. To determine score, the average is taken of the items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate greater perceived severity of e-cigarette use. Lower scores indicate lesser perceived severity of e-cigarette use.
6 months
Motivation to Avoid E-Cigarettes at 1 Month
Motivation to avoid e-cigarettes was assessed by participants' self-reported importance, confidence, readiness, and commitment to avoid e-cigarette use in the future. These items reflect constructs from behavior change theories such as the Transtheoretical Model, which emphasizes individual readiness and self-efficacy as key predictors of behavioral intention and action. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 0 to 10. 0 = Not at all 10 = Very How important is it to avoid e-cigarettes in the future? How confident are you in avoiding e-cigarettes in the future? How ready are you to avoid e-cigarettes in the future? How committed are you to avoid e-cigarettes in the future? To determine score, the average is taken across the four items. Minimum Score = 0; Maximum Score = 10 Higher scores indicate greater motivation to avoid e-cigarette use. Lower scores indicate lesser motivation.
1 Month
Motivation to Avoid E-Cigarettes at 3 Months
Motivation to avoid e-cigarettes was assessed by participants' self-reported importance, confidence, readiness, and commitment to avoid e-cigarette use in the future. These items reflect constructs from behavior change theories such as the Transtheoretical Model, which emphasizes individual readiness and self-efficacy as key predictors of behavioral intention and action. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 0 to 10. 0 = Not at all 10 = Very How important is it to avoid e-cigarettes in the future? How confident are you in avoiding e-cigarettes in the future? How ready are you to avoid e-cigarettes in the future? How committed are you to avoid e-cigarettes in the future? To determine score, the average is taken across the four items. Minimum Score = 0; Maximum Score = 10 Higher scores indicate greater motivation to avoid e-cigarette use. Lower scores indicate lesser motivation.
3 Months
Motivation to Avoid E-Cigarettes at 6 Months
Motivation to avoid e-cigarettes was assessed by participants' self-reported importance, confidence, readiness, and commitment to avoid e-cigarette use in the future. These items reflect constructs from behavior change theories such as the Transtheoretical Model, which emphasizes individual readiness and self-efficacy as key predictors of behavioral intention and action. The measure is as follows in its exact and unabbreviated form: Please rate the following statements on a scale from 0 to 10. 0 = Not at all 10 = Very How important is it to avoid e-cigarettes in the future? How confident are you in avoiding e-cigarettes in the future? How ready are you to avoid e-cigarettes in the future? How committed are you to avoid e-cigarettes in the future? To determine score, the average is taken across the four items. Minimum Score = 0; Maximum Score = 10 Higher scores indicate greater motivation to avoid e-cigarette use. Lower scores indicate lesser motivation.
6 Months
Behavioral Intentions at 1 Month
Behavioral intentions to use e-cigarettes were assessed using participants' self-reported interest and willingness to engage in future e-cigarette use. This construct is grounded in the Theory of Planned Behavior, which identifies behavioral intention as the most immediate and reliable predictor of future behavior. The measure is as follows in its exact and unabbreviated form: How interested are you in trying e-cigarettes? How willing are you to try e-cigarettes? How willing would you be to purchase an e-cigarette? How willing would you be to try an e-cigarette if a friend offered you one? Responses were rated on a scale from 1 (not at all) to 5 (very). To determine score, the average is taken across the four items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate stronger behavioral intentions to use e-cigarettes. Lower scores indicate weaker intentions.
1 month
Behavioral Intentions at 3 Months
Behavioral intentions to use e-cigarettes were assessed using participants' self-reported interest and willingness to engage in future e-cigarette use. This construct is grounded in the Theory of Planned Behavior, which identifies behavioral intention as the most immediate and reliable predictor of future behavior. The measure is as follows in its exact and unabbreviated form: How interested are you in trying e-cigarettes? How willing are you to try e-cigarettes? How willing would you be to purchase an e-cigarette? How willing would you be to try an e-cigarette if a friend offered you one? Responses were rated on a scale from 1 (not at all) to 5 (very). To determine score, the average is taken across the four items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate stronger behavioral intentions to use e-cigarettes. Lower scores indicate weaker intentions.
3 months
Behavioral Intentions at 6 Months
Behavioral intentions to use e-cigarettes were assessed using participants' self-reported interest and willingness to engage in future e-cigarette use. This construct is grounded in the Theory of Planned Behavior, which identifies behavioral intention as the most immediate and reliable predictor of future behavior. The measure is as follows in its exact and unabbreviated form: How interested are you in trying e-cigarettes? How willing are you to try e-cigarettes? How willing would you be to purchase an e-cigarette? How willing would you be to try an e-cigarette if a friend offered you one? Responses were rated on a scale from 1 (not at all) to 5 (very). To determine score, the average is taken across the four items. Minimum Score = 1; Maximum Score = 5 Higher scores indicate stronger behavioral intentions to use e-cigarettes. Lower scores indicate weaker intentions.
6 months
Number of Participants With Biochemical Verification of Tobacco Use at 1 Month
Biochemical confirmation of tobacco use was conducted using the Alere iScreen Oral Fluid Device (OFD), a point-of-care saliva test that detects cotinine, a primary metabolite of nicotine, indicating tobacco or nicotine product use within the past \~3 days. The count reflects participants who tested positive for cotinine, providing biochemical evidence of recent tobacco or nicotine exposure.
1 month
Number of Participants With Biochemical Verification of Tobacco Use at 3 Months
Biochemical confirmation of tobacco use was conducted using the Alere iScreen Oral Fluid Device (OFD), a point-of-care saliva test that detects cotinine, a primary metabolite of nicotine, indicating tobacco or nicotine product use within the past \~3 days. The count reflects participants who tested positive for cotinine, providing biochemical evidence of recent tobacco or nicotine exposure.
3 months
Number of Participants With Biochemical Verification of Tobacco Use at 6 Months
Biochemical confirmation of tobacco use was conducted using the Alere iScreen Oral Fluid Device (OFD), a point-of-care saliva test that detects cotinine, a primary metabolite of nicotine, indicating tobacco or nicotine product use within the past \~3 days. The count reflects participants who tested positive for cotinine, providing biochemical evidence of recent tobacco or nicotine exposure.
6 months
Study Arms (2)
Unregulated ad condition
ACTIVE COMPARATORThis arm will include exposure to unregulated e-cigarette ads or ads as they appear in modern media.
Regulated ad condition
EXPERIMENTALThis arm will include exposure to regulated e-cigarette ads or ads where we have taken out the appealing features.
Interventions
This intervention will determine if restriction of appealing features in e-cigarette ads deter young adults from trying the product.
This intervention will determine if unrestricted appealing features in e-cigarette ads deter young adults from trying the product.
Eligibility Criteria
You may qualify if:
- to 26 years old,
- fluent in English (earn a score of at least 4 on the Rapid Estimate of Adult Literacy in Medicine)
- biochemically confirmed abstinence of alcohol (BrAC=.00) and combusted tobacco or marijuana exhaled carbon monoxide (eCO\<6 parts per million) at time of visit,
- reporting never trying an e-cigarette, not even a puff OR reporting tried and e-cigarette in the past but not in the past 30 days. Susceptibility to EC use, will be determined using the Susceptibility to Use Tobacco Products questionnaire, with only those identifying anything besides "no curiosity/interest" to all three susceptibility questions as susceptible users.
You may not qualify if:
- Out of age range 18-26 years
- Use of an e-cigarette in past 30 days
- Pregnant women
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
UMass Chan Medical School Stevens Lab
Worcester, Massachusetts, 01605, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Results Point of Contact
- Title
- Elise Stevens, Assistant Professor
- Organization
- University of Massachusetts Chan Medical School
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- SINGLE
- Who Masked
- PARTICIPANT
- Purpose
- PREVENTION
- Intervention Model
- FACTORIAL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Assistant Professor
Study Record Dates
First Submitted
December 15, 2021
First Posted
January 26, 2022
Study Start
April 1, 2022
Primary Completion
June 4, 2024
Study Completion
July 1, 2024
Last Updated
May 30, 2025
Results First Posted
May 30, 2025
Record last verified: 2025-05
Data Sharing
- IPD Sharing
- Will not share